Bernal Gutierrez
Postdoctoral Research Fellow at The Johns Hopkins University
Columbus, Ohio, United States
Summary
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Rockstar🎓
Top SchoolBernal Gutierrez is a postdoctoral research fellow specializing in large language models applied to biology, currently based at Johns Hopkins University with 11 years of research and engineering experience. He completed a PhD trajectory at Ohio State after an Applied Mathematics undergraduate at UC Berkeley, blending rigorous theory with hands-on ML and HPC practice. His background spans biomedical NLP (improving UMLS curation at NLM), cancer-focused AI at Mendel.ai, and computational neuroscience work involving image registration and spiking network dynamics. Bernal is comfortable moving models from research into practical systems—optimizing pipelines on CPU/GPU clusters and integrating LLMs into domain workflows. He brings a rare combination of domain knowledge across biology and machine learning, plus experience accelerating manual curation and clinical-relevance extraction in biomedical settings.
11 years of coding experience
5 years of employment as a software developer
Bachelor’s Degree Applied Mathematics, Bachelor’s Degree Applied Mathematics at University of California, Berkeley
English, Spanish
Stackoverflow
1reputation
0reached
0answers
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Github Skills (15)
workspace7
spike6
document-classification6
classification6
nlp5
deep-learning5
machine-learning5
testing4
python4
medicine3
language-model3
google-colaboratory2
comprehension2
visual-question-answering2
acl1
Programming languages (2)
Github contributions (5)
OSU-NLP-Group/HippoRAG
May 2024 - Mar 2025
[NeurIPS'24] HippoRAG is a novel RAG framework inspired by human long-term memory that enables LLMs to continuously integrate knowledge across external documents. RAG + Knowledge Graphs + Personalized PageRank.
Contributions:1 release, 26 PRs, 38 pushes in 10 months
bernaljg/covid19-classification
Jun 2020 - Jul 2023
Testing Document Classification on COVID-19 Literature using the LitCovid dataset and the Hedwig library.
Contributions:1 PR, 3 pushes, 3 branches in 3 years 1 month
hedwigtestingdocument-testingdatasetmachine-learning
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